Flow-level coverage and bandwidth adaptation

Abstract

In one example, a method includes detecting an extended reality traffic flow exchanged between an extended reality application executing on a user endpoint device and an application server supporting the extended reality application, mapping the extended reality traffic flow to a radio access network-level metric, and adapting at least one of: a transmit power of the user endpoint device, a transmit power of a radio access node serving the user endpoint device, a frequency band of the user endpoint device, a channel bandwidth of the user endpoint device, a frequency band of the radio access node serving the user endpoint device, or a channel bandwidth of the radio access node serving the user endpoint device to meet the radio access network-level metric.

What is claimed is: 
     
         1 . A method comprising:
 detecting, by a processing system including at least one processor, an extended reality traffic flow exchanged between an extended reality application executing on a user endpoint device and an application server supporting the extended reality application;   mapping, by the processing system, the extended reality traffic flow to a radio access network-level metric; and   adapting, by the processing system, at least one of: a transmit power of the user endpoint device, a transmit power of a radio access node serving the user endpoint device, a frequency band of the user endpoint device, a channel bandwidth of the user endpoint device, a frequency band of the radio access node serving the user endpoint device, or a channel bandwidth of the radio access node serving the user endpoint device to meet the radio access network-level metric.   
     
     
         2 . The method of  claim 1 , wherein the extended reality traffic flow is one of a plurality of extended reality traffic flows exchanged between the extended reality application executing on the user endpoint device and the application server supporting the extended reality application. 
     
     
         3 . The method of  claim 2 , wherein each flow of the plurality of extended reality traffic flows carries traffic associated with a different component of the extended reality application. 
     
     
         4 . The method of  claim 1 , wherein the radio access network-level metric is an extended reality coverage metric. 
     
     
         5 . The method of  claim 4 , wherein the extended reality coverage metric comprises physical layer and higher layer measurements. 
     
     
         6 . The method of  claim 5 , wherein the measurements comprise measurements of at least one of: a reference signal received power, a received signal strength indicator, or a signal-to-interference-plus-noise ratio. 
     
     
         7 . The method of  claim 4 , wherein the radio access network-level metric is a extended reality energy metric, and wherein the extended reality energy metric comprises physical layer and higher layer measurements. 
     
     
         8 . The method of  claim 7 , wherein the measurements comprise measurements of at least one of: an instantaneous battery consumption, an average battery consumption, a control channel utilization, a data channel utilization, an uplink transmit power headroom report, a discontinuous reception utilization, a measurement gap utilization, or a frequency band utilization. 
     
     
         9 . The method of  claim 1 , wherein the radio access network-level metric is mapped to an identifier of the extended reality traffic flow. 
     
     
         10 . The method of  claim 9 , wherein the radio access network-level metric is mapped to the identifier of the extended reality traffic flow in a mapping table, and an index to the mapping table is associated with the identifier. 
     
     
         11 . The method of  claim 9 , wherein the identifier is uniquely associated with the extended reality traffic flow. 
     
     
         12 . The method of  claim 9 , wherein the identifier is uniquely associated with a group of extended reality traffic flows including the extended reality traffic flow. 
     
     
         13 . The method of  claim 1 , wherein the adapting the transmit power of the user endpoint device comprises providing, to the user endpoint device, an updated transmit power value or an updated range of transmit power values. 
     
     
         14 . The method of  claim 1 , wherein the adapting the transmit power of the radio access node serving the user endpoint device comprises providing, to the radio access node serving the user endpoint device, an updated transmit power value or an updated range of transmit power values. 
     
     
         15 . The method of  claim 1 , wherein the radio access network-level metric is associated with an energy saving parameter for at least one of: the user endpoint device or the radio access node serving the user endpoint device. 
     
     
         16 . The method of  claim 1 , wherein the adapting further comprises providing an updated radio access network-level metric to at least one of: the user endpoint device or the radio access node serving the user endpoint device. 
     
     
         17 . The method of  claim 16 , wherein the updated radio access network-level metric is based on a network or service policy update. 
     
     
         18 . The method of  claim 16 , wherein the updated radio access network-level metric is based on historical network data. 
     
     
         19 . A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising:
 detecting an extended reality traffic flow exchanged between an extended reality application executing on a user endpoint device and an application server supporting the extended reality application;   mapping the extended reality traffic flow to a radio access network-level metric; and   adapting at least one of: a transmit power of the user endpoint device, a transmit power of a radio access node serving the user endpoint device, a frequency band of the user endpoint device, a channel bandwidth of the user endpoint device, a frequency band of the radio access node serving the user endpoint device, or a channel bandwidth of the radio access node serving the user endpoint device to meet the radio access network-level metric.   
     
     
         20 . A device comprising:
 a processing system including at least one processor; and   a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising:
 detecting an extended reality traffic flow exchanged between an extended reality application executing on a user endpoint device and an application server supporting the extended reality application; 
 mapping the extended reality traffic flow to a radio access network-level metric; and 
 adapting at least one of: a transmit power of the user endpoint device, a transmit power of a radio access node serving the user endpoint device, a frequency band of the user endpoint device, a channel bandwidth of the user endpoint device, a frequency band of the radio access node serving the user endpoint device, or a channel bandwidth of the radio access node serving the user endpoint device to meet the radio access network-level metric.